How difficult are Data Manipulation (SQL/Python) interview questions?

Difficulty ranges from entry-level to very hard depending on role and seniority. For junior analyst roles expect straightforward SELECTs, joins and aggregations under time pressure; mid-level interviews add window functions, CTEs, and multi-step Python data-wrangling; senior data engineers or analytics engineers face large end-to-end problems that test query performance, complex joins, memory and time tradeoffs, and readable, robust Python pipelines. Interviewers evaluate correctness, edge-case handling, efficiency, and clear explanations; practice with timed problems and end-to-end data tasks closes most gaps. ([leetcode.com](https://leetcode.com/discuss/study-guide/6483598/SQL-Interview-Questions-Bootcamp/?utm_source=openai))

How does data manipulation appear across interviews at companies like Meta, Amazon, TikTok, DoorDash, and Capital One?

Data manipulation shows up in many formats across these companies: live SQL or Python screens, take-home problems, business-case analytics interviews, and paired debugging sessions. It is central for data analyst and data engineer roles and frequently appears in data scientist and product analytics interviews where candidates must fetch correct results and then reason about them. Expect company-specific emphases—some rounds focus on speed and pattern recognition, others on correctness and production-readiness—but the core ask is identical: translate a business question into a reliable data transformation and explain tradeoffs. ([datalemur.com](https://datalemur.com/python-interview-questions?utm_source=openai))

What is a realistic preparation timeline for mastering data manipulation for interviews?

A focused 4–8 week plan works well: weeks 1–2 cover core SQL patterns (joins, group-bys, aggregations, CTEs) and pandas basics; weeks 3–4 practice windows, recursive/advanced queries, and medium Python data tasks under time limits; weeks 5–6 simulate full interviews with mixed SQL+Python problems and timed take-homes; final weeks polish performance tuning, edge cases, and clear verbal explanations. Use platform-style questions to build speed, then shift to open-ended business problems to practice end-to-end reasoning and communication. ([interviewpilot.dev](https://interviewpilot.dev/blog/sql-leetcode?utm_source=openai))

What are the key subtopics I must master in SQL and Python for data manipulation interviews?

Key SQL areas are joins and set operations, aggregations versus HAVING, window functions, CTEs and subqueries, NULL handling and deduplication strategies, and basic performance concepts like indexes and query plans. For Python focus on pandas dataframes, vectorized operations, merges, groupby-apply patterns, memory-aware processing, and writing readable, testable transformation pipelines. Also practice translating natural-language business questions into queries and validating results with edge-case tests; interviewers heavily weight correctness, reproducibility, and explanation of assumptions. ([geeksforgeeks.org](https://www.geeksforgeeks.org/data-science/sql-questions-for-data-analyst-interview/?utm_source=openai))

What standout tips and common pitfalls should I know when solving data manipulation interview problems?

Always start by clarifying the question, expected output shape, and how to treat NULLs or duplicates; outline your approach before coding. Use readable CTEs and small incremental steps for complex SQL, and in Python prefer vectorized operations over row loops. Test on edge cases and explain performance tradeoffs and alternative approaches. Common pitfalls include ignoring NULL semantics, failing to deduplicate properly, not addressing time complexity, and omitting validation checks; narrate assumptions and tradeoffs to demonstrate production thinking. ([getgalaxy.io](https://www.getgalaxy.io/learn/glossary/sql-interview-questions-for-data-analysts?utm_source=openai))

Data Manipulation (SQL/Python) Interview Questions (Updated 2026) — Page 18

Data Manipulation (SQL/Python) Interview Questions

Practice 653 real Data Manipulation (SQL/Python) interview questions for 2026. Covers companies like Meta, Amazon, TikTok, DoorDash, and Capital One. Real questions from actual interviews with detailed solutions — designed for focused interview preparation for data analysts, data scientists, and data engineers who must move fluidly between SQL and Python during live screens and take-home tasks. These questions emphasize practical skills: writing correct, efficient SQL (joins, GROUP BY, window functions, CTEs, NULL handling, and performance-aware predicates) and idiomatic Python/Pandas solutions (vectorized transforms, merges, reshaping, datetime handling, and robust data-cleaning). Interviewers evaluate correctness, edge-case reasoning, runtime and memory tradeoffs, reproducibility, and clear communication of assumptions. Expect timed whiteboard-style queries, pair-programming in a shared editor, and take-home notebooks. To prepare, practice translating SQL ↔ Pandas, explain results aloud, time-box exercises, test edge cases, and review common pitfalls such as NULL semantics, grouping logic, off-by-one errors, and inefficient joins.

Questions

653

Companies

108

Updated

06.08.2026

653 Questions 108 Companies06.08.2026

PLTCHK

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

_The_TaNk_

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

ChrisSenior SWE, LinkedIn

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

sleepy33

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

JakeSenior ML Engineer, Lyft

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

nuggetlord

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

CarlosFull Stack, Shopify

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

boba.tea.vibes

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

AndySWE-II, Google

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

couchpotato99

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

ShrutiData Engineer, Salesforce

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

midnightramen

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

BiancaFrontend Eng, Figma

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

tambrahm007

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."

toa

"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."

PLTCHK

_The_TaNk_

ChrisSenior SWE, LinkedIn

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

sleepy33

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

JakeSenior ML Engineer, Lyft

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

nuggetlord

CarlosFull Stack, Shopify

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

boba.tea.vibes

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

AndySWE-II, Google

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

couchpotato99

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

ShrutiData Engineer, Salesforce

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

midnightramen

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

BiancaFrontend Eng, Figma

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

tambrahm007

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."

toa

"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."

Showing 20 results

Role

Data Manipulation (SQL/Python) Interview Questions

Write SQL for engagement and attribution KPIs

Write SQL window functions for streaks

Write rolling-window SQL over weekly cohorts

Write SQL to detect recurring non-subscription users

Merge seven tables into one clean DataFrame

Query top spenders and 7-day growth

Manipulate and merge DataFrames correctly

Compute French DAU video-call percentage yesterday

Compute callers contacting >3 people last 7 days

Load and visualize large CSV robustly

Write SQL for dedup and purchase shares

Write SQL to analyze Group Calls adoption

Write SQL for initiators and French DAU%

Design an analytic warehouse for event data

Calculate cross-channel login user proportions

Query seven-day conversion with windows and dedupe

Design metrics and write SQL for a case

Write SQL for snapshot features and labels

Write SQL for comment analytics

Manipulate data in R with dplyr joins and windows

Frequently Asked Questions